Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 782 |
| Missing cells | 314 |
| Missing cells (%) | 3.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 73.4 KiB |
| Average record size in memory | 96.2 B |
Variable types
| Categorical | 2 |
|---|---|
| Numeric | 10 |
country_mapped has a high cardinality: 164 distinct values | High cardinality |
rank is highly correlated with score and 4 other fields | High correlation |
score is highly correlated with rank and 4 other fields | High correlation |
gdp_pc is highly correlated with rank and 3 other fields | High correlation |
family is highly correlated with rank and 3 other fields | High correlation |
health is highly correlated with rank and 3 other fields | High correlation |
freedom is highly correlated with rank and 1 other fields | High correlation |
rank is highly correlated with score and 4 other fields | High correlation |
score is highly correlated with rank and 4 other fields | High correlation |
gdp_pc is highly correlated with rank and 3 other fields | High correlation |
family is highly correlated with rank and 3 other fields | High correlation |
health is highly correlated with rank and 3 other fields | High correlation |
freedom is highly correlated with rank and 1 other fields | High correlation |
rank is highly correlated with score and 2 other fields | High correlation |
score is highly correlated with rank and 2 other fields | High correlation |
gdp_pc is highly correlated with rank and 2 other fields | High correlation |
health is highly correlated with rank and 2 other fields | High correlation |
region is highly correlated with rank and 6 other fields | High correlation |
year is highly correlated with dystopia | High correlation |
rank is highly correlated with region and 6 other fields | High correlation |
score is highly correlated with region and 7 other fields | High correlation |
gdp_pc is highly correlated with region and 4 other fields | High correlation |
family is highly correlated with region and 4 other fields | High correlation |
health is highly correlated with region and 4 other fields | High correlation |
freedom is highly correlated with region and 3 other fields | High correlation |
trust is highly correlated with region and 3 other fields | High correlation |
dystopia is highly correlated with year and 1 other fields | High correlation |
dystopia has 312 (39.9%) missing values | Missing |
country_mapped is uniformly distributed | Uniform |
rank is uniformly distributed | Uniform |
Reproduction
| Analysis started | 2024-06-30 06:40:19.757443 |
|---|---|
| Analysis finished | 2024-06-30 06:40:38.675390 |
| Duration | 18.92 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 164 |
|---|---|
| Distinct (%) | 21.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.2 KiB |
| Afghanistan | 5 |
|---|---|
| Norway | 5 |
| Nepal | 5 |
| Netherlands | 5 |
| New Zealand | 5 |
| Other values (159) |
Length
| Max length | 24 |
|---|---|
| Median length | 7 |
| Mean length | 8.164961637 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 0.5% |
Sample
| 1st row | Afghanistan |
|---|---|
| 2nd row | Afghanistan |
| 3rd row | Afghanistan |
| 4th row | Afghanistan |
| 5th row | Afghanistan |
Common Values
| Value | Count | Frequency (%) |
| Afghanistan | 5 | 0.6% |
| Norway | 5 | 0.6% |
| Nepal | 5 | 0.6% |
| Netherlands | 5 | 0.6% |
| New Zealand | 5 | 0.6% |
| Nicaragua | 5 | 0.6% |
| Niger | 5 | 0.6% |
| Nigeria | 5 | 0.6% |
| North Cyprus | 5 | 0.6% |
| Pakistan | 5 | 0.6% |
| Other values (154) | 732 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| united | 15 | 1.6% |
| republic | 14 | 1.5% |
| south | 14 | 1.5% |
| congo | 10 | 1.1% |
| cyprus | 10 | 1.1% |
| and | 10 | 1.1% |
| sudan | 8 | 0.9% |
| bangladesh | 5 | 0.5% |
| bahrain | 5 | 0.5% |
| dominican | 5 | 0.5% |
| Other values (174) | 826 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 1 |
| Missing (%) | 0.1% |
| Memory size | 6.2 KiB |
| Sub-Saharan Africa | |
|---|---|
| Central and Eastern Europe | |
| Latin America and Caribbean | |
| Western Europe | |
| Middle East and Northern Africa | |
| Other values (5) |
Length
| Max length | 31 |
|---|---|
| Median length | 18 |
| Mean length | 21.33930858 |
| Min length | 12 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Southern Asia |
|---|---|
| 2nd row | Southern Asia |
| 3rd row | Southern Asia |
| 4th row | Southern Asia |
| 5th row | Southern Asia |
Common Values
| Value | Count | Frequency (%) |
| Sub-Saharan Africa | 195 | |
| Central and Eastern Europe | 145 | |
| Latin America and Caribbean | 111 | |
| Western Europe | 105 | |
| Middle East and Northern Africa | 96 | |
| Southeastern Asia | 44 | 5.6% |
| Southern Asia | 35 | 4.5% |
| Eastern Asia | 30 | 3.8% |
| Australia and New Zealand | 10 | 1.3% |
| North America | 10 | 1.3% |
| (Missing) | 1 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| and | 362 | |
| africa | 291 | |
| europe | 250 | |
| sub-saharan | 195 | 8.2% |
| eastern | 175 | 7.3% |
| central | 145 | 6.1% |
| america | 121 | 5.1% |
| latin | 111 | 4.7% |
| caribbean | 111 | 4.7% |
| asia | 109 | 4.6% |
| Other values (10) | 512 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2016.993606 |
| Minimum | 2015 |
|---|---|
| Maximum | 2019 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 2015 |
|---|---|
| 5-th percentile | 2015 |
| Q1 | 2016 |
| median | 2017 |
| Q3 | 2018 |
| 95-th percentile | 2019 |
| Maximum | 2019 |
| Range | 4 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.417364432 |
|---|---|
| Coefficient of variation (CV) | 0.0007027114157 |
| Kurtosis | -1.305269806 |
| Mean | 2016.993606 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.005903894403 |
| Sum | 1577289 |
| Variance | 2.008921934 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=5)
| Value | Count | Frequency (%) |
| 2015 | 158 | |
| 2016 | 157 | |
| 2018 | 156 | |
| 2019 | 156 | |
| 2017 | 155 |
| Value | Count | Frequency (%) |
| 2015 | 158 | |
| 2016 | 157 | |
| 2017 | 155 | |
| 2018 | 156 | |
| 2019 | 156 |
| Value | Count | Frequency (%) |
| 2019 | 156 | |
| 2018 | 156 | |
| 2017 | 155 | |
| 2016 | 157 | |
| 2015 | 158 |
| Distinct | 158 |
|---|---|
| Distinct (%) | 20.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 78.69820972 |
| Minimum | 1 |
|---|---|
| Maximum | 158 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 8.05 |
| Q1 | 40 |
| median | 79 |
| Q3 | 118 |
| 95-th percentile | 149 |
| Maximum | 158 |
| Range | 157 |
| Interquartile range (IQR) | 78 |
Descriptive statistics
| Standard deviation | 45.18238438 |
|---|---|
| Coefficient of variation (CV) | 0.5741221375 |
| Kurtosis | -1.199701126 |
| Mean | 78.69820972 |
| Median Absolute Deviation (MAD) | 39 |
| Skewness | 0.0004973514565 |
| Sum | 61542 |
| Variance | 2041.447859 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 34 | 6 | 0.8% |
| 145 | 6 | 0.8% |
| 82 | 6 | 0.8% |
| 57 | 6 | 0.8% |
| 153 | 5 | 0.6% |
| 23 | 5 | 0.6% |
| 14 | 5 | 0.6% |
| 74 | 5 | 0.6% |
| 77 | 5 | 0.6% |
| 75 | 5 | 0.6% |
| Other values (148) | 728 |
| Value | Count | Frequency (%) |
| 1 | 5 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 5 |
| Value | Count | Frequency (%) |
| 158 | 1 | 0.1% |
| 157 | 2 | 0.3% |
| 156 | 4 | |
| 155 | 5 | |
| 154 | 5 | |
| 153 | 5 | |
| 152 | 5 | |
| 151 | 5 | |
| 150 | 5 | |
| 149 | 5 |
| Distinct | 716 |
|---|---|
| Distinct (%) | 91.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.379017903 |
| Minimum | 2.693000078 |
|---|---|
| Maximum | 7.769 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 2.693000078 |
|---|---|
| 5-th percentile | 3.58715 |
| Q1 | 4.50975 |
| median | 5.322 |
| Q3 | 6.1895 |
| 95-th percentile | 7.31395 |
| Maximum | 7.769 |
| Range | 5.075999922 |
| Interquartile range (IQR) | 1.67975 |
Descriptive statistics
| Standard deviation | 1.12745646 |
|---|---|
| Coefficient of variation (CV) | 0.2096026599 |
| Kurtosis | -0.7610545866 |
| Mean | 5.379017903 |
| Median Absolute Deviation (MAD) | 0.846 |
| Skewness | 0.03585943327 |
| Sum | 4206.392 |
| Variance | 1.27115807 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6.379 | 3 | 0.4% |
| 5.835 | 3 | 0.4% |
| 5.89 | 3 | 0.4% |
| 5.129 | 3 | 0.4% |
| 2.905 | 3 | 0.4% |
| 4.35 | 3 | 0.4% |
| 5.192 | 3 | 0.4% |
| 6.375 | 3 | 0.4% |
| 4.681 | 2 | 0.3% |
| 5.743 | 2 | 0.3% |
| Other values (706) | 754 |
| Value | Count | Frequency (%) |
| 2.693000078 | 1 | 0.1% |
| 2.839 | 1 | 0.1% |
| 2.853 | 1 | 0.1% |
| 2.904999971 | 1 | 0.1% |
| 2.905 | 3 | |
| 3.006 | 1 | 0.1% |
| 3.069 | 1 | 0.1% |
| 3.083 | 2 | |
| 3.203 | 1 | 0.1% |
| 3.231 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 7.769 | 1 | |
| 7.632 | 1 | |
| 7.6 | 1 | |
| 7.594 | 1 | |
| 7.587 | 1 | |
| 7.561 | 1 | |
| 7.555 | 1 | |
| 7.554 | 1 | |
| 7.537000179 | 1 | |
| 7.527 | 1 |
| Distinct | 742 |
|---|---|
| Distinct (%) | 94.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9160474825 |
| Minimum | 0 |
|---|---|
| Maximum | 2.096 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.208797 |
| Q1 | 0.6065 |
| median | 0.9822047088 |
| Q3 | 1.236187109 |
| 95-th percentile | 1.487882078 |
| Maximum | 2.096 |
| Range | 2.096 |
| Interquartile range (IQR) | 0.629687109 |
Descriptive statistics
| Standard deviation | 0.4073401313 |
|---|---|
| Coefficient of variation (CV) | 0.4446714161 |
| Kurtosis | -0.6927595054 |
| Mean | 0.9160474825 |
| Median Absolute Deviation (MAD) | 0.2998890486 |
| Skewness | -0.3185805094 |
| Sum | 716.3491313 |
| Variance | 0.1659259826 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 5 | 0.6% |
| 0.96 | 4 | 0.5% |
| 1.34 | 3 | 0.4% |
| 0.332 | 3 | 0.4% |
| 1.043 | 2 | 0.3% |
| 0.642 | 2 | 0.3% |
| 1.301 | 2 | 0.3% |
| 0.689 | 2 | 0.3% |
| 1.221 | 2 | 0.3% |
| 1.263 | 2 | 0.3% |
| Other values (732) | 755 |
| Value | Count | Frequency (%) |
| 0 | 5 | |
| 0.0153 | 1 | 0.1% |
| 0.01604 | 1 | 0.1% |
| 0.02264318429 | 1 | 0.1% |
| 0.024 | 1 | 0.1% |
| 0.026 | 1 | 0.1% |
| 0.046 | 1 | 0.1% |
| 0.05661 | 1 | 0.1% |
| 0.06831 | 1 | 0.1% |
| 0.069 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 2.096 | 1 | |
| 1.870765686 | 1 | |
| 1.82427 | 1 | |
| 1.741943598 | 1 | |
| 1.69752 | 1 | |
| 1.69227767 | 1 | |
| 1.69042 | 1 | |
| 1.684 | 1 | |
| 1.649 | 1 | |
| 1.64555 | 1 |
| Distinct | 732 |
|---|---|
| Distinct (%) | 93.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.078392483 |
| Minimum | 0 |
|---|---|
| Maximum | 1.644 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.46133 |
| Q1 | 0.8693625 |
| median | 1.124735 |
| Q3 | 1.32725 |
| 95-th percentile | 1.522 |
| Maximum | 1.644 |
| Range | 1.644 |
| Interquartile range (IQR) | 0.4578875 |
Descriptive statistics
| Standard deviation | 0.3295483193 |
|---|---|
| Coefficient of variation (CV) | 0.305592189 |
| Kurtosis | 0.1584486833 |
| Mean | 1.078392483 |
| Median Absolute Deviation (MAD) | 0.235555 |
| Skewness | -0.6846322898 |
| Sum | 843.3029213 |
| Variance | 0.1086020948 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 5 | 0.6% |
| 1.538 | 3 | 0.4% |
| 1.438 | 3 | 0.4% |
| 1.465 | 3 | 0.4% |
| 1.125 | 3 | 0.4% |
| 1.41 | 3 | 0.4% |
| 1.504 | 3 | 0.4% |
| 1.319 | 2 | 0.3% |
| 1.223 | 2 | 0.3% |
| 1.459 | 2 | 0.3% |
| Other values (722) | 753 |
| Value | Count | Frequency (%) |
| 0 | 5 | |
| 0.10419 | 1 | 0.1% |
| 0.11037 | 1 | 0.1% |
| 0.13995 | 1 | 0.1% |
| 0.147 | 1 | 0.1% |
| 0.14866 | 1 | 0.1% |
| 0.18519 | 1 | 0.1% |
| 0.19249 | 1 | 0.1% |
| 0.23442 | 1 | 0.1% |
| 0.24749 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1.644 | 1 | |
| 1.624 | 1 | |
| 1.610574007 | 1 | |
| 1.601 | 1 | |
| 1.592 | 1 | |
| 1.59 | 1 | |
| 1.587 | 1 | |
| 1.584 | 1 | |
| 1.583 | 1 | |
| 1.582 | 2 |
| Distinct | 705 |
|---|---|
| Distinct (%) | 90.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6124155771 |
| Minimum | 0 |
|---|---|
| Maximum | 1.141 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.1578945 |
| Q1 | 0.4401825 |
| median | 0.6473095147 |
| Q3 | 0.808 |
| 95-th percentile | 0.954973 |
| Maximum | 1.141 |
| Range | 1.141 |
| Interquartile range (IQR) | 0.3678175 |
Descriptive statistics
| Standard deviation | 0.2483086404 |
|---|---|
| Coefficient of variation (CV) | 0.4054577474 |
| Kurtosis | -0.487571207 |
| Mean | 0.6124155771 |
| Median Absolute Deviation (MAD) | 0.1686446949 |
| Skewness | -0.5012025622 |
| Sum | 478.9089813 |
| Variance | 0.06165718089 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 5 | 0.6% |
| 0.999 | 5 | 0.6% |
| 0.815 | 5 | 0.6% |
| 0.828 | 4 | 0.5% |
| 0.874 | 4 | 0.5% |
| 0.884 | 3 | 0.4% |
| 0.914 | 3 | 0.4% |
| 0.854 | 3 | 0.4% |
| 0.871 | 3 | 0.4% |
| 0.861 | 3 | 0.4% |
| Other values (695) | 744 |
| Value | Count | Frequency (%) |
| 0 | 5 | |
| 0.005564753897 | 1 | 0.1% |
| 0.01 | 1 | 0.1% |
| 0.0187726859 | 1 | 0.1% |
| 0.03824 | 1 | 0.1% |
| 0.04113471508 | 1 | 0.1% |
| 0.04476 | 1 | 0.1% |
| 0.04776 | 1 | 0.1% |
| 0.048 | 1 | 0.1% |
| 0.04864216968 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1.141 | 1 | |
| 1.122 | 1 | |
| 1.088 | 1 | |
| 1.062 | 1 | |
| 1.052 | 1 | |
| 1.045 | 1 | |
| 1.042 | 2 | |
| 1.039 | 2 | |
| 1.036 | 2 | |
| 1.03 | 1 |
| Distinct | 697 |
|---|---|
| Distinct (%) | 89.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4110908258 |
| Minimum | 0 |
|---|---|
| Maximum | 0.724 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.128096 |
| Q1 | 0.3097675 |
| median | 0.431 |
| Q3 | 0.531 |
| 95-th percentile | 0.6308885 |
| Maximum | 0.724 |
| Range | 0.724 |
| Interquartile range (IQR) | 0.2212325 |
Descriptive statistics
| Standard deviation | 0.1528804206 |
|---|---|
| Coefficient of variation (CV) | 0.3718896434 |
| Kurtosis | -0.3072054061 |
| Mean | 0.4110908258 |
| Median Absolute Deviation (MAD) | 0.10948 |
| Skewness | -0.5212591254 |
| Sum | 321.4730258 |
| Variance | 0.02337242301 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 5 | 0.6% |
| 0.557 | 4 | 0.5% |
| 0.417 | 3 | 0.4% |
| 0.312 | 3 | 0.4% |
| 0.356 | 3 | 0.4% |
| 0.516 | 3 | 0.4% |
| 0.406 | 3 | 0.4% |
| 0.531 | 3 | 0.4% |
| 0.508 | 3 | 0.4% |
| 0.431 | 3 | 0.4% |
| Other values (687) | 749 |
| Value | Count | Frequency (%) |
| 0 | 5 | |
| 0.00589 | 1 | 0.1% |
| 0.01 | 1 | 0.1% |
| 0.013 | 1 | 0.1% |
| 0.01499585528 | 1 | 0.1% |
| 0.016 | 1 | 0.1% |
| 0.025 | 1 | 0.1% |
| 0.026 | 1 | 0.1% |
| 0.03036985733 | 1 | 0.1% |
| 0.0432 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0.724 | 1 | |
| 0.696 | 1 | |
| 0.686 | 1 | |
| 0.683 | 1 | |
| 0.681 | 1 | |
| 0.677 | 1 | |
| 0.674 | 1 | |
| 0.66973 | 1 | |
| 0.669 | 1 | |
| 0.66557 | 1 |
| Distinct | 635 |
|---|---|
| Distinct (%) | 81.3% |
| Missing | 1 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1254356136 |
| Minimum | 0 |
|---|---|
| Maximum | 0.55191 |
| Zeros | 6 |
| Zeros (%) | 0.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.018 |
| Q1 | 0.054 |
| median | 0.091 |
| Q3 | 0.15603 |
| 95-th percentile | 0.37124 |
| Maximum | 0.55191 |
| Range | 0.55191 |
| Interquartile range (IQR) | 0.10203 |
Descriptive statistics
| Standard deviation | 0.1058164476 |
|---|---|
| Coefficient of variation (CV) | 0.8435917404 |
| Kurtosis | 1.880108294 |
| Mean | 0.1254356136 |
| Median Absolute Deviation (MAD) | 0.04745 |
| Skewness | 1.5208882 |
| Sum | 97.9652142 |
| Variance | 0.01119712057 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.082 | 7 | 0.9% |
| 0.028 | 6 | 0.8% |
| 0.064 | 6 | 0.8% |
| 0.078 | 6 | 0.8% |
| 0 | 6 | 0.8% |
| 0.034 | 6 | 0.8% |
| 0.056 | 5 | 0.6% |
| 0.074 | 5 | 0.6% |
| 0.055 | 5 | 0.6% |
| 0.093 | 5 | 0.6% |
| Other values (625) | 724 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 0.001 | 1 | 0.1% |
| 0.00227 | 1 | 0.1% |
| 0.00322 | 1 | 0.1% |
| 0.004 | 1 | 0.1% |
| 0.004387900699 | 1 | 0.1% |
| 0.005 | 1 | 0.1% |
| 0.006 | 3 | |
| 0.00615 | 1 | 0.1% |
| 0.00649 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0.55191 | 1 | |
| 0.52208 | 1 | |
| 0.50521 | 1 | |
| 0.4921 | 1 | |
| 0.48357 | 1 | |
| 0.48049 | 1 | |
| 0.46987 | 1 | |
| 0.464307785 | 1 | |
| 0.457 | 1 | |
| 0.4552200139 | 1 |
generosity
Real number (ℝ≥0)
| Distinct | 664 |
|---|---|
| Distinct (%) | 84.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2185758416 |
| Minimum | 0 |
|---|---|
| Maximum | 0.838075161 |
| Zeros | 5 |
| Zeros (%) | 0.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.05403037467 |
| Q1 | 0.13 |
| median | 0.2019822115 |
| Q3 | 0.2788325 |
| 95-th percentile | 0.4704543383 |
| Maximum | 0.838075161 |
| Range | 0.838075161 |
| Interquartile range (IQR) | 0.1488325 |
Descriptive statistics
| Standard deviation | 0.1223207487 |
|---|---|
| Coefficient of variation (CV) | 0.5596261135 |
| Kurtosis | 2.020258278 |
| Mean | 0.2185758416 |
| Median Absolute Deviation (MAD) | 0.07322149014 |
| Skewness | 1.044360015 |
| Sum | 170.9263081 |
| Variance | 0.01496236557 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.175 | 6 | 0.8% |
| 0.153 | 5 | 0.6% |
| 0.187 | 5 | 0.6% |
| 0 | 5 | 0.6% |
| 0.099 | 4 | 0.5% |
| 0.083 | 4 | 0.5% |
| 0.197 | 4 | 0.5% |
| 0.142 | 3 | 0.4% |
| 0.148 | 3 | 0.4% |
| 0.185 | 3 | 0.4% |
| Other values (654) | 740 |
| Value | Count | Frequency (%) |
| 0 | 5 | |
| 0.00199 | 1 | 0.1% |
| 0.01016465668 | 1 | 0.1% |
| 0.02025 | 1 | 0.1% |
| 0.025 | 1 | 0.1% |
| 0.026 | 2 | 0.3% |
| 0.02641 | 1 | 0.1% |
| 0.02736 | 1 | 0.1% |
| 0.028806841 | 1 | 0.1% |
| 0.029 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0.838075161 | 1 | |
| 0.81971 | 1 | |
| 0.79588 | 1 | |
| 0.6117045879 | 1 | |
| 0.598 | 1 | |
| 0.58696 | 1 | |
| 0.5763 | 1 | |
| 0.5747305751 | 1 | |
| 0.5721231103 | 1 | |
| 0.566 | 1 |
| Distinct | 470 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 312 |
| Missing (%) | 39.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.092716638 |
| Minimum | 0.32858 |
|---|---|
| Maximum | 3.83772 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.2 KiB |
Quantile statistics
| Minimum | 0.32858 |
|---|---|
| 5-th percentile | 1.126492703 |
| Q1 | 1.737975 |
| median | 2.09464 |
| Q3 | 2.455574545 |
| 95-th percentile | 3.025559 |
| Maximum | 3.83772 |
| Range | 3.50914 |
| Interquartile range (IQR) | 0.7175995455 |
Descriptive statistics
| Standard deviation | 0.5657717565 |
|---|---|
| Coefficient of variation (CV) | 0.2703527779 |
| Kurtosis | 0.4141306299 |
| Mean | 2.092716638 |
| Median Absolute Deviation (MAD) | 0.3595132296 |
| Skewness | -0.1216469469 |
| Sum | 983.5768199 |
| Variance | 0.3200976805 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.9521 | 1 | 0.1% |
| 1.59888 | 1 | 0.1% |
| 1.878890276 | 1 | 0.1% |
| 2.40364 | 1 | 0.1% |
| 2.04384 | 1 | 0.1% |
| 2.79248929 | 1 | 0.1% |
| 3.18286 | 1 | 0.1% |
| 3.10709 | 1 | 0.1% |
| 2.47489 | 1 | 0.1% |
| 2.277026653 | 1 | 0.1% |
| Other values (460) | 460 | |
| (Missing) | 312 |
| Value | Count | Frequency (%) |
| 0.32858 | 1 | |
| 0.3779137135 | 1 | |
| 0.4193892479 | 1 | |
| 0.5400612354 | 1 | |
| 0.5546331406 | 1 | |
| 0.6211304665 | 1 | |
| 0.65429 | 1 | |
| 0.67042 | 1 | |
| 0.67108 | 1 | |
| 0.8143823147 | 1 |
| Value | Count | Frequency (%) |
| 3.83772 | 1 | |
| 3.60214 | 1 | |
| 3.55906 | 1 | |
| 3.50733 | 1 | |
| 3.40904 | 1 | |
| 3.38007 | 1 | |
| 3.35168 | 1 | |
| 3.31029 | 1 | |
| 3.26001 | 1 | |
| 3.22134 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| country_mapped | region | year | rank | score | gdp_pc | family | health | freedom | trust | generosity | dystopia | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Southern Asia | 2015 | 153 | 3.575 | 0.319820 | 0.302850 | 0.303350 | 0.234140 | 0.097190 | 0.365100 | 1.952100 |
| 1 | Afghanistan | Southern Asia | 2016 | 154 | 3.360 | 0.382270 | 0.110370 | 0.173440 | 0.164300 | 0.071120 | 0.312680 | 2.145580 |
| 2 | Afghanistan | Southern Asia | 2017 | 141 | 3.794 | 0.401477 | 0.581543 | 0.180747 | 0.106180 | 0.061158 | 0.311871 | 2.150801 |
| 3 | Afghanistan | Southern Asia | 2018 | 145 | 3.632 | 0.332000 | 0.537000 | 0.255000 | 0.085000 | 0.036000 | 0.191000 | NaN |
| 4 | Afghanistan | Southern Asia | 2019 | 154 | 3.203 | 0.350000 | 0.517000 | 0.361000 | 0.000000 | 0.025000 | 0.158000 | NaN |
| 5 | Albania | Central and Eastern Europe | 2015 | 95 | 4.959 | 0.878670 | 0.804340 | 0.813250 | 0.357330 | 0.064130 | 0.142720 | 1.898940 |
| 6 | Albania | Central and Eastern Europe | 2016 | 109 | 4.655 | 0.955300 | 0.501630 | 0.730070 | 0.318660 | 0.053010 | 0.168400 | 1.928160 |
| 7 | Albania | Central and Eastern Europe | 2017 | 109 | 4.644 | 0.996193 | 0.803685 | 0.731160 | 0.381499 | 0.039864 | 0.201313 | 1.490442 |
| 8 | Albania | Central and Eastern Europe | 2018 | 112 | 4.586 | 0.916000 | 0.817000 | 0.790000 | 0.419000 | 0.032000 | 0.149000 | NaN |
| 9 | Albania | Central and Eastern Europe | 2019 | 107 | 4.719 | 0.947000 | 0.848000 | 0.874000 | 0.383000 | 0.027000 | 0.178000 | NaN |
Last rows
| country_mapped | region | year | rank | score | gdp_pc | family | health | freedom | trust | generosity | dystopia | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 772 | Zambia | Sub-Saharan Africa | 2015 | 85 | 5.129 | 0.470380 | 0.916120 | 0.299240 | 0.488270 | 0.124680 | 0.195910 | 2.634300 |
| 773 | Zambia | Sub-Saharan Africa | 2016 | 106 | 4.795 | 0.612020 | 0.637600 | 0.235730 | 0.426620 | 0.114790 | 0.178660 | 2.589910 |
| 774 | Zambia | Sub-Saharan Africa | 2017 | 116 | 4.514 | 0.636407 | 1.003187 | 0.257836 | 0.461603 | 0.078214 | 0.249580 | 1.826705 |
| 775 | Zambia | Sub-Saharan Africa | 2018 | 125 | 4.377 | 0.562000 | 1.047000 | 0.295000 | 0.503000 | 0.082000 | 0.221000 | NaN |
| 776 | Zambia | Sub-Saharan Africa | 2019 | 138 | 4.107 | 0.578000 | 1.058000 | 0.426000 | 0.431000 | 0.087000 | 0.247000 | NaN |
| 777 | Zimbabwe | Sub-Saharan Africa | 2015 | 115 | 4.610 | 0.271000 | 1.032760 | 0.334750 | 0.258610 | 0.080790 | 0.189870 | 2.441910 |
| 778 | Zimbabwe | Sub-Saharan Africa | 2016 | 131 | 4.193 | 0.350410 | 0.714780 | 0.159500 | 0.254290 | 0.085820 | 0.185030 | 2.442700 |
| 779 | Zimbabwe | Sub-Saharan Africa | 2017 | 138 | 3.875 | 0.375847 | 1.083096 | 0.196764 | 0.336384 | 0.095375 | 0.189143 | 1.597970 |
| 780 | Zimbabwe | Sub-Saharan Africa | 2018 | 144 | 3.692 | 0.357000 | 1.094000 | 0.248000 | 0.406000 | 0.099000 | 0.132000 | NaN |
| 781 | Zimbabwe | Sub-Saharan Africa | 2019 | 146 | 3.663 | 0.366000 | 1.114000 | 0.433000 | 0.361000 | 0.089000 | 0.151000 | NaN |